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- W2084684436 abstract "In this paper, based on the local preferential redistribution rule of the load after removing a node, we propose a cascading model and explore cascading failures on four typical networks, i.e. the BA with scale-free property, the WS small-world network, the NW network and the ER random network. Assume that a failed node leads only to a redistribution of the load passing through it to its neighboring nodes. We find that all networks reach the strongest robustness level against cascading failures in the case of α=1, which is a tunable parameter in our model, where the robustness is quantified by the critical threshold T c , at which a phase transition occurs from a normal state to collapse. To a constant network size, we further discuss the correlations between the average degree 〈k〉 and T c , and draw the conclusion that T c has a negative correlative with 〈k〉, i.e. the bigger the value of 〈k〉, the smaller the critical threshold T c . These results may be very helpful for real-life networks to avoid cascading-failure-induced disasters." @default.
- W2084684436 created "2016-06-24" @default.
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- W2084684436 date "2009-04-20" @default.
- W2084684436 modified "2023-09-23" @default.
- W2084684436 title "A MODEL FOR CASCADING FAILURES IN COMPLEX NETWORKS WITH A TUNABLE PARAMETER" @default.
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- W2084684436 doi "https://doi.org/10.1142/s0217984909019442" @default.
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